Senior Technical PM – AI Agents Platform

Remote

San Francisco (CA)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Netomi is hiring a Senior Technical PM to own the product strategy and roadmap for the Agents platform. You will connect enterprise customer outcomes to investments, ship capabilities, and drive adoption across deployments.

The role combines strategic planning with hands-on work, collaborating with AI labs, evaluating model capabilities, and building experiments to inform product decisions.

Qualifications

  • 4-8 years of relevant experience in a deeply technical product role or applied AI
  • Proven ownership of a complex technical product area with measurable results
  • Excellent judgment to prioritize and balance customer needs with business goals
  • Customer-first mindset translating enterprise needs into actionable requirements
  • Strong ability to align engineering, research, and GTM teams and communicate to executives

Responsibilities

  • Own the multi-quarter roadmap for Agents end to end, from problem discovery to delivery and outcome tracking
  • Collaborate with enterprise customers, CS, Delivery and Sales to identify high-value problems and translate into PRDs and user stories
  • Drive cross-functional alignment on scope, dependencies and launch readiness without direct authority
  • Manage quarterly roadmap inputs, scope locks, execution reviews and launch sign-offs
  • Track adoption and publish a monthly Agent Outcomes readout across deployments
  • Lead post-release learning through monitoring, incident reviews and roadmap feedback

Skills

Product judgment
Stakeholder alignment
Communication
AI/Agent platforms

Tools

MCP tools
APIs

Job description

Netomi is hiring a Senior Technical PM to own the product strategy and roadmap for the Agents platform. You will connect enterprise customer outcomes to investments, ship capabilities, and drive adoption across deployments.

The role combines strategic planning with hands-on work, collaborating with AI labs, evaluating model capabilities, and building experiments to inform product decisions.

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